Satisfactory Feature Selection based on SVM and Its Application in Enterprise Credit Assessment

信用评估是银行贷款业务的核心工作，对贷款客户的信用评价是否科学可靠，关系着银行经营的成败。 国内银行的信用评估方法目前还停留在传统的比例分析阶段，亟需建立一套更为科学的评估模型。近年来，神经网络（NN）、支持向量机（SVM）等智能模型已被引入信用评估领域，并取得了令人鼓舞的研究性成果。但前人的研究着重于智能评估模型的建立，对评估指标体系的选定却未作充分的探讨。本文采用数据挖掘领域中的特征选择方法，结合SVM分类技术，对评估指标的选取进行了较为深入的研究，并以此为基点，对信用评估的建模方法进行了新的拓展。 本文将满意优化思想引入特征选择方法中，并针对国内银行信用数据的特点，综合考虑选出特征子...Credit assessment is the key step in loan business of commercial banks. The rationality and reliability of credit assessment will greatly affect the achievements of a bank. The commercial banks in china need some much better assessment methods to improve their competition ability, in which, nowadays, the traditional ratio-analysis method is popularly adopted. Recently, the intelligent models, suc...学位：工学硕士院系专业：信息科学与技术学院自动化系_控制理论与控制工程学号：20043106

A Predictive Study of Cloud Computing in the Tending and Bidding Mode of the Construction Engineering —Take the ShenZhen Tending and Bidding Mode of the Construction Engineering for Example

随着社会不断快速的发展，虚拟化信息技术的成果应用也不断的呈现出发展壮大的趋势，其中，作为突出代表的云计算的技术在其超级强悍的数据运算能力的使用下，更多的行业和政府机关都对其产生了极大的兴趣。而在建设工程领域内，作为阳光手段的电子招投标技术也正在成为一个行业内提升服务水平和规范有形建筑市场的最佳手段，在日新月异的信息技术世界，在大数据趋势的推动下，云计算与电子招投标相互融合应用的趋势将不可避免. 最近，国家发展和改革委员会正式对外发布了国家电子招标投标试点城市消息，其中，第一个试点城市花落深圳。为此，国家发展和改革委员会还专门在给深圳的批复函件中指出，深圳要打造一个市场化的公共资源交易平台、提...With the rapid development of society, the application of the virtual information technology is expanding constantly. Among them, cloud computing technology, as the prominent representation, is attracting great interests from more and more industries and government agencies in the use of its super powerful data processing ability. While in the field of construction project, the e-bidding technolog...学位：公共管理硕士院系专业：公共事务学院_公共管理硕士学号：1392012115033

Separating feature selection and its application to enterprise credit assessment

评估指标体系的选取是企业信用评估的首要问题,它是一个特征选择问题。文章提出了一种针对SVM组合技术的拆分特征选择方法,其主要思想是对SVM组合中的各个分类器分别进行特征选择,再采用不同的特征子集作为各子分类器的输入,进行组合建模与预测。文章从filter和wrapper相结合的思想出发,进行了子分类器的特征选择;之后,针对企业信用评估问题的特点,采用了二叉树结构作为SVM的组合策略。实验表明,拆分特征选择方法能选出规模较小、具有一定差异的关键指标集,提高了模型的分类性能,并且具有计算简单,运行快速的优点。The selection of the evaluating index system is the key to enterprise credit assessment,which is essentially a feature selection problem.A separating feature selection approach concerning the combination of SVMs(support vector machine) is proposed,whose basic idea is to execute feature selection on each SVM in the combination and use the different selected feature subsets as the inputs.The composite feature selection based on filter and wrapper is used in the selection process of each SVM.The SVMs are then combined using binary tree structure adapted to the characteristic of enterprise credit assessment.Experiment shows that separating feature selection can select feature subsets with small scale and diversity and improve the classification ability of the model and reduce the computing time and complexity

Promoting Knowledge and Skills in Basic Gas Burner Operations Development and Evaluation of Video Teaching Materials: For 6th Grade Elementary School Students

departmental bulletin pape

a clustering model for mobile ad hoc network

提出一种ad hoc网络中新的簇结构模式 .采用约束特征值的概念对ad hoc网络中节点移动的约束环境进行数学抽象,定义了节点属性的数学表达式 .以节点的通信能力值和状态变化值作为选择簇头节点的依据, 在此基础上提出了分簇算法GM-BFS,对平面ad hoc网络进行分簇,最后使用偏移度概念实现节点在簇间的移动和动态切换